code: def get_feature_extractor(self, **kwargs):
      return LayoutLMv2FeatureExtractor.from_pretrained(
          self.tmpdirname, **kwargs
      )
  
imports: import json
  import os
  import shutil
  import tempfile
  import unittest
  from typing import List
  from transformers import PreTrainedTokenizer, PreTrainedTokenizerBase, PreTrainedTokenizerFast
  from transformers.models.layoutxlm import LayoutXLMTokenizer, LayoutXLMTokenizerFast
  from transformers.testing_utils import require_pytesseract, require_sentencepiece, require_tokenizers, require_torch, slow
  from transformers.utils import FEATURE_EXTRACTOR_NAME, cached_property, is_pytesseract_available
label_desc: Use image node_id 5 for calling the LayoutXLMProcessorTest obj's underlying member method code with example usage: obj.get_feature_extractor() and returns: LayoutLMv2FeatureExtractor